Range Low Price High Price Comment
30 days 8.79€ 9.75€ Friday, 24th May 2024 ONTEX.BB stock ended at 9.22€. During the day the stock fluctuated 0% from a day low at 9.22€ to a day high of 9.22€.
90 days 7.18€ 9.75€
52 weeks 6.41€ 9.75€

Historical Ontex Group N.V. prices

Date Open High Low Close Volume
Apr 18, 2024 8.95€ 9.08€ 8.82€ 8.94€ 157 156
Apr 17, 2024 9.01€ 9.16€ 8.97€ 8.97€ 200 259
Apr 16, 2024 9.04€ 9.22€ 9.03€ 9.03€ 189 565
Apr 15, 2024 9.00€ 9.33€ 8.95€ 9.04€ 519 129
Apr 12, 2024 8.85€ 8.94€ 8.77€ 8.77€ 166 874
Apr 11, 2024 8.41€ 8.90€ 8.37€ 8.83€ 402 972
Apr 10, 2024 8.33€ 8.47€ 8.33€ 8.40€ 163 446
Apr 09, 2024 8.40€ 8.50€ 8.32€ 8.33€ 154 899
Apr 08, 2024 8.46€ 8.59€ 8.35€ 8.38€ 164 411
Apr 05, 2024 8.16€ 8.48€ 8.16€ 8.43€ 217 615
Apr 04, 2024 8.12€ 8.30€ 8.12€ 8.23€ 169 191
Apr 03, 2024 7.91€ 8.15€ 7.86€ 8.11€ 148 126
Apr 02, 2024 7.84€ 7.84€ 7.84€ 7.84€ 0
Mar 28, 2024 7.70€ 7.88€ 7.64€ 7.84€ 193 315
Mar 27, 2024 7.57€ 7.65€ 7.54€ 7.65€ 83 728
Mar 26, 2024 7.40€ 7.56€ 7.40€ 7.56€ 126 997
Mar 25, 2024 7.21€ 7.47€ 7.21€ 7.42€ 287 501
Mar 22, 2024 7.22€ 7.26€ 7.19€ 7.22€ 65 871
Mar 21, 2024 7.34€ 7.35€ 7.19€ 7.22€ 110 846
Mar 20, 2024 7.30€ 7.34€ 7.29€ 7.33€ 119 645
Mar 19, 2024 7.30€ 7.36€ 7.29€ 7.34€ 128 900
Mar 18, 2024 7.34€ 7.37€ 7.32€ 7.32€ 80 603
Mar 15, 2024 7.43€ 7.44€ 7.36€ 7.36€ 162 345
Mar 14, 2024 7.43€ 7.47€ 7.40€ 7.43€ 87 703
Mar 13, 2024 7.40€ 7.44€ 7.37€ 7.41€ 52 479

FAQ

What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.

Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.

How can I use ONTEX.BB stock historical prices to predict future price movements?
Trend Analysis: Examine the ONTEX.BB stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.

What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.

This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.

A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.

Why do the ONTEX.BB stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.

How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.
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